activity
20172022
most citedPolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

31 citations · 123 across the 23 of their papers we have counts for

collaborators

30 papers

cs.CV20228 cited

Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets

Sumit Laha, Ankit Sharma, Shengnan Hu +1

We propose a fusion algorithm for haze removal that combines color information from an RGB image and edge information extracted from its corresponding NIR image using Haar wavelets…

cs.CL2021

StreamHover: Livestream Transcript Summarization and Annotation

Sangwoo Cho, Franck Dernoncourt, Tim Ganter +7

With the explosive growth of livestream broadcasting, there is an urgent need for new summarization technology that enables us to create a preview of streamed content and tap into…

cs.CV202110 cited

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Zixiang Zhou, Yang Zhang, Hassan Foroosh

Panoptic segmentation presents a new challenge in exploiting the merits of both detection and segmentation, with the aim of unifying instance segmentation and semantic segmentation…

cs.CL2020

Better Highlighting: Creating Sub-Sentence Summary Highlights

Sangwoo Cho, Kaiqiang Song, Chen Li +3

Amongst the best means to summarize is highlighting. In this paper, we aim to generate summary highlights to be overlaid on the original documents to make it easier for readers to…

cs.CV20202 cited

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection

Shengnan Hu, Yang Zhang, Sumit Laha +2

Deep neural network based object detection hasbecome the cornerstone of many real-world applications. Alongwith this success comes concerns about its vulnerability tomalicious atta…

cs.CV202031 cited

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

Yang Zhang, Zixiang Zhou, Philip David +4

The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR. Despite the eme…